Research on Accurate Poverty Alleviation Algorithm of Rural Industry Based on Association Rules Mining

Precision poverty alleviation by industry is an important strategy to solve the poverty problem in rural areas. At present, there is no long-term mechanism for precision poverty alleviation by industry in rural areas of China, and insufficient attention is paid to precision poverty alleviation by industry. Precision poverty alleviation by rural e-commerce is a dynamic and open organic system. This paper proposes an improved Apriori algorithm to mine the basic information of farmers based on the improved Apriori data mining algorithm. Through the frequent itemsets of association rules of poor villages, multi-dimensional poverty items related to the current poverty situation of each poor village are obtained, and the poverty characteristics of poor villages are analyzed from different dimensions, so as to provide theoretical basis for the government to adjust the assistance policies. Compared with the original algorithm, the operation efficiency is greatly improved.